----------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  d:\project2014\replicationsow\replication_sow\sow_appendix_cluster.log
  log type:  text
 opened on:  25 May 2014, 17:33:49

. 
. use sow_data_2013oct

.  
.  
. 
. /*gen snow_groupd2=snow*groupd2
> gen snow_groupd3=snow*groupd3*/
. ******************************************
.  
. *******Table A: Test for the Quality of Randomization for the Field Experiment.
. 
. * Linear Probability regression
. reg groupd2 sow0 pig  no_xnh subsidy age_vil edu_vil male_vil pop_regist pop_migout surname_vil town_loc land,
>  robust cluster(townid)

Linear regression                                      Number of obs =     471
                                                       F( 12,    25) =    1.10
                                                       Prob > F      =  0.4006
                                                       R-squared     =  0.0167
                                                       Root MSE      =  .43575

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
     groupd2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sow0 |  -.0016819   .0009928    -1.69   0.103    -.0037266    .0003628
         pig |  -9.87e-06   .0001453    -0.07   0.946    -.0003092    .0002895
      no_xnh |  -.0001233   .0001062    -1.16   0.257    -.0003422    .0000955
     subsidy |   .0005656   .0003823     1.48   0.152    -.0002219     .001353
     age_vil |   .0049595   .0107715     0.46   0.649    -.0172248    .0271438
     edu_vil |   .0416364   .0369402     1.13   0.270    -.0344435    .1177162
    male_vil |   1.129629   1.011216     1.12   0.275    -.9530094    3.212268
  pop_regist |   9.44e-06   .0000285     0.33   0.743    -.0000493    .0000682
  pop_migout |  -1.70e-06   .0001969    -0.01   0.993    -.0004072    .0004038
 surname_vil |  -.0085457   .0095044    -0.90   0.377    -.0281204     .011029
    town_loc |  -.0309143   .0887478    -0.35   0.731    -.2136938    .1518652
        land |  -.0019198   .0137303    -0.14   0.890    -.0301979    .0263582
       _cons |  -.7333845   .6069685    -1.21   0.238     -1.98346    .5166906
------------------------------------------------------------------------------

. reg groupd3 sow0 pig  no_xnh subsidy age_vil edu_vil male_vil pop_regist pop_migout surname_vil town_loc land,
>  robust cluster(townid)

Linear regression                                      Number of obs =     471
                                                       F( 12,    25) =    1.08
                                                       Prob > F      =  0.4145
                                                       R-squared     =  0.0165
                                                       Root MSE      =  .50284

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
     groupd3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sow0 |    .000345   .0015983     0.22   0.831    -.0029468    .0036368
         pig |   .0000506   .0001443     0.35   0.729    -.0002466    .0003478
      no_xnh |   .0002295   .0001525     1.51   0.145    -.0000845    .0005435
     subsidy |  -.0007555   .0004842    -1.56   0.131    -.0017527    .0002417
     age_vil |   .0008346   .0107232     0.08   0.939    -.0212503    .0229194
     edu_vil |  -.0516494   .0325006    -1.59   0.125    -.1185856    .0152868
    male_vil |  -.3502287   1.075095    -0.33   0.747    -2.564427     1.86397
  pop_regist |  -9.56e-06   .0000432    -0.22   0.827    -.0000986    .0000794
  pop_migout |   .0001251   .0001705     0.73   0.470     -.000226    .0004762
 surname_vil |   .0062673   .0132514     0.47   0.640    -.0210245    .0335591
    town_loc |   .1585833   .1046472     1.52   0.142    -.0569417    .3741083
        land |   .0142693    .009457     1.51   0.144    -.0052076    .0337463
       _cons |   .8407737   .6254875     1.34   0.191    -.4474418    2.128989
------------------------------------------------------------------------------

. 
. *************************
. * Multinominal Probit
. mprobit group sow0 pig no_xnh subsidy age_vil edu_vil male_vil pop_regist pop_migout surname_vil town_loc land
> , base(1) robust cluster(townid)

Iteration 0:   log pseudolikelihood = -481.54887  
Iteration 1:   log pseudolikelihood = -481.47146  
Iteration 2:   log pseudolikelihood = -481.47146  

Multinomial probit regression                     Number of obs   =        471
                                                  Wald chi2(23)   =          .
Log pseudolikelihood = -481.47146                 Prob > chi2     =          .

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
       group |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
1            |  (base outcome)
-------------+----------------------------------------------------------------
2            |
        sow0 |  -.0110442   .0068659    -1.61   0.108     -.024501    .0024127
         pig |   .0000743   .0009028     0.08   0.934    -.0016952    .0018437
      no_xnh |  -.0001027   .0005149    -0.20   0.842    -.0011119    .0009066
     subsidy |   .0013676   .0020379     0.67   0.502    -.0026266    .0053617
     age_vil |   .0305412   .0472494     0.65   0.518     -.062066    .1231484
     edu_vil |   .0906265   .1908554     0.47   0.635    -.2834431    .4646962
    male_vil |   5.291858   4.141911     1.28   0.201     -2.82614    13.40986
  pop_regist |   .0000191   .0001485     0.13   0.898    -.0002719    .0003101
  pop_migout |   .0002969   .0010444     0.28   0.776      -.00175    .0023438
 surname_vil |  -.0261287   .0558462    -0.47   0.640    -.1355852    .0833277
    town_loc |    .355096   .4783639     0.74   0.458    -.5824801    1.292672
        land |   .0352192   .0813038     0.43   0.665    -.1241333    .1945717
       _cons |  -4.574727   2.890861    -1.58   0.114    -10.24071    1.091257
-------------+----------------------------------------------------------------
3            |
        sow0 |  -.0028327   .0053949    -0.53   0.600    -.0134066    .0077411
         pig |   .0001603   .0006764     0.24   0.813    -.0011654    .0014859
      no_xnh |   .0006986    .000583     1.20   0.231     -.000444    .0018413
     subsidy |   -.001859   .0019976    -0.93   0.352    -.0057742    .0020562
     age_vil |   .0174011   .0399573     0.44   0.663    -.0609138    .0957159
     edu_vil |  -.1277127   .1519766    -0.84   0.401    -.4255814     .170156
    male_vil |    1.41952   3.556278     0.40   0.690    -5.550656    8.389697
  pop_regist |  -.0000142   .0001746    -0.08   0.935    -.0003566    .0003281
  pop_migout |   .0005249   .0007024     0.75   0.455    -.0008518    .0019015
 surname_vil |   .0092445      .0563     0.16   0.870    -.1011015    .1195905
    town_loc |   .7242741   .4468354     1.62   0.105    -.1515072    1.600055
        land |   .0612912   .0556857     1.10   0.271    -.0478508    .1704332
       _cons |  -.5132101    2.46253    -0.21   0.835    -5.339679    4.313259
------------------------------------------------------------------------------

. 
. ****************
. * Multinominal Logit
. mlogit group sow0 pig no_xnh subsidy age_vil edu_vil male_vil pop_regist pop_migout surname_vil town_loc land,
>  base(1) robust cluster(townid)

Iteration 0:   log pseudolikelihood = -489.35872  
Iteration 1:   log pseudolikelihood = -481.48004  
Iteration 2:   log pseudolikelihood = -481.33579  
Iteration 3:   log pseudolikelihood = -481.33519  
Iteration 4:   log pseudolikelihood = -481.33519  

Multinomial logistic regression                   Number of obs   =        471
                                                  Wald chi2(23)   =          .
                                                  Prob > chi2     =          .
Log pseudolikelihood = -481.33519                 Pseudo R2       =     0.0164

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
       group |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
1            |  (base outcome)
-------------+----------------------------------------------------------------
2            |
        sow0 |  -.0150446   .0090773    -1.66   0.097    -.0328358    .0027465
         pig |   .0001504   .0011733     0.13   0.898    -.0021491      .00245
      no_xnh |   -.000064   .0007074    -0.09   0.928    -.0014505    .0013224
     subsidy |   .0015622   .0026852     0.58   0.561    -.0037007    .0068251
     age_vil |   .0418175   .0629773     0.66   0.507    -.0816158    .1652508
     edu_vil |   .1293335    .264881     0.49   0.625    -.3898237    .6484907
    male_vil |   7.839034   5.835778     1.34   0.179     -3.59888    19.27695
  pop_regist |    .000034   .0001927     0.18   0.860    -.0003437    .0004116
  pop_migout |   .0005706   .0014334     0.40   0.691    -.0022389    .0033801
 surname_vil |  -.0438815   .0769933    -0.57   0.569    -.1947855    .1070225
    town_loc |   .4787465   .6674958     0.72   0.473    -.8295213    1.787014
        land |   .0457038   .1112931     0.41   0.681    -.1724266    .2638343
       _cons |  -6.605768   4.197222    -1.57   0.116    -14.83217    1.620636
-------------+----------------------------------------------------------------
3            |
        sow0 |  -.0039641   .0063596    -0.62   0.533    -.0164287    .0085005
         pig |   .0002171   .0008671     0.25   0.802    -.0014823    .0019166
      no_xnh |   .0008969   .0007548     1.19   0.235    -.0005824    .0023762
     subsidy |  -.0023591   .0025544    -0.92   0.356    -.0073657    .0026476
     age_vil |   .0234239   .0506045     0.46   0.643     -.075759    .1226069
     edu_vil |  -.1470289   .1979159    -0.74   0.458     -.534937    .2408792
    male_vil |   2.477735   4.442932     0.56   0.577    -6.230251    11.18572
  pop_regist |  -.0000188   .0002266    -0.08   0.934    -.0004629    .0004252
  pop_migout |   .0007605   .0009678     0.79   0.432    -.0011364    .0026574
 surname_vil |   .0067163   .0704489     0.10   0.924    -.1313609    .1447935
    town_loc |   .9098952   .6025048     1.51   0.131    -.2709925    2.090783
        land |   .0798666   .0726709     1.10   0.272    -.0625658    .2222989
       _cons |  -1.165077   3.209009    -0.36   0.717     -7.45462    5.124466
------------------------------------------------------------------------------

. 
. ********************************************
. ** Table appendix C1 and C2 : examine the effect of sow deaths during the snow storm on subsequent production*
. ***********************revision by cyy in march 2012
. ***********************1 add interaction of house and edu
. ge lnhouse=log(house_val)
(6 missing values generated)

. sum house lnhouse

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
   house_val |       474    23118.48    19236.02   5298.507     125000
     lnhouse |       474    9.827237     .623094    8.57518   11.73607

. gen insured_house=insuredpig*lhouse_val
(6 missing values generated)

. gen insured_edu=insuredpig*edu_vil
(9 missing values generated)

. gen snow_house=snow*lhouse_val
(6 missing values generated)

. gen snow_edu=snow*edu_vil
(9 missing values generated)

. 
. gen insured_house_snow=insured_house*snow
(6 missing values generated)

. gen insured_edu_snow=insured_edu*snow
(9 missing values generated)

.  
. gen house_groupd2=lhouse_val*groupd2
(6 missing values generated)

. gen house_groupd3=lhouse_val*groupd3
(6 missing values generated)

. 
. gen house_snow_gd2=snow_house*groupd2
(6 missing values generated)

. gen house_snow_gd3=snow_house*groupd3
(6 missing values generated)

. 
. gen edu_groupd2=edu_vil*groupd2
(9 missing values generated)

. gen edu_groupd3=edu_vil*groupd3
(9 missing values generated)

. 
. gen edu_snow_gd2=snow_edu*groupd2
(9 missing values generated)

. gen edu_snow_gd3=snow_edu*groupd3
(9 missing values generated)

. 
. *****Table C1: IV Estimates of the Effect of Sow Deaths During the Snow Storm on Sow Production in March 2008.
.  
. 
. ivreg sow3 snow sow0 (insuredpig=groupd2-groupd3) towndummy*,robust cluster(townid)

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  2,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.7891
                                                       Root MSE      =  16.289

                                (Std. Err. adjusted for 18 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
        sow3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  insuredpig |   .7707648   .3037378     2.54   0.021     .1299341    1.411595
        snow |   5.134508   2.349695     2.19   0.043     .1770844    10.09193
        sow0 |   .5066259   .2264387     2.24   0.039     .0288821    .9843697
  towndummy1 |   9.474462   2.218669     4.27   0.001     4.793479    14.15544
  towndummy2 |          0  (omitted)
  towndummy3 |          0  (omitted)
  towndummy4 |   4.041108   .7404713     5.46   0.000      2.47885    5.603366
  towndummy5 |          0  (omitted)
  towndummy6 |   41.36401   2.336207    17.71   0.000     36.43505    46.29298
  towndummy7 |    20.0165   3.761558     5.32   0.000     12.08031    27.95269
  towndummy8 |   24.15295   4.059929     5.95   0.000     15.58725    32.71865
  towndummy9 |   15.16037   3.076146     4.93   0.000     8.670268    21.65047
 towndummy10 |   8.383572   8.256333     1.02   0.324    -9.035767    25.80291
 towndummy11 |   25.11565   8.457857     2.97   0.009     7.271134    42.96017
 towndummy12 |          0  (omitted)
 towndummy13 |          0  (omitted)
 towndummy14 |    9.15409   3.875285     2.36   0.030      .977954    17.33023
 towndummy15 |   7.223286   5.754374     1.26   0.226    -4.917383    19.36395
 towndummy16 |   7.652611   3.320963     2.30   0.034      .645992    14.65923
 towndummy17 |   43.36094   3.340999    12.98   0.000     36.31205    50.40983
 towndummy18 |          0  (omitted)
 towndummy19 |    9.33723    7.70443     1.21   0.242    -6.917695    25.59216
 towndummy20 |          0  (omitted)
 towndummy21 |          0  (omitted)
 towndummy22 |   14.26219   2.725579     5.23   0.000     8.511723    20.01266
 towndummy23 |          0  (omitted)
 towndummy24 |    .983891    2.84267     0.35   0.734    -5.013618      6.9814
 towndummy25 |   16.23264   1.530135    10.61   0.000     13.00434    19.46094
 towndummy26 |   10.18622   2.640216     3.86   0.001     4.615854    15.75659
       _cons |  -.9759774    2.96528    -0.33   0.746    -7.232171    5.280216
------------------------------------------------------------------------------
Instrumented:  insuredpig
Instruments:   snow sow0 towndummy1 towndummy2 towndummy3 towndummy4
               towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3
------------------------------------------------------------------------------

. 
. ivreg sow3 snow sow0 (insuredpig snow_insured =groupd2-groupd3 snow_groupd2 snow_groupd3)  towndummy*  ,robust
>  cluster(townid)

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  3,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.8065
                                                       Root MSE      =  15.629

                                (Std. Err. adjusted for 18 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
        sow3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  insuredpig |   .7158312   .3180218     2.25   0.038     .0448637    1.386799
snow_insured |   .0744406   .0414377     1.80   0.090    -.0129853    .1618665
        snow |   2.462242    .567271     4.34   0.000     1.265405    3.659079
        sow0 |   .5202147   .2287424     2.27   0.036     .0376104    1.002819
  towndummy1 |  -.4470052    7.63167    -0.06   0.954    -16.54842    15.65441
  towndummy2 |          0  (omitted)
  towndummy3 |          0  (omitted)
  towndummy4 |   -5.25157   8.606296    -0.61   0.550    -23.40927    12.90613
  towndummy5 |          0  (omitted)
  towndummy6 |   31.98264   6.680128     4.79   0.000     17.88881    46.07648
  towndummy7 |   10.42561   5.387149     1.94   0.070    -.9402861     21.7915
  towndummy8 |   11.19225   6.122511     1.83   0.085    -1.725123    24.10961
  towndummy9 |   5.481765   6.350299     0.86   0.400    -7.916195    18.87972
 towndummy10 |          0  (omitted)
 towndummy11 |   12.45777   3.673672     3.39   0.003     4.706997    20.20854
 towndummy12 |  -8.200453   8.285391    -0.99   0.336     -25.6811    9.280193
 towndummy13 |          0  (omitted)
 towndummy14 |  -.5797036   5.662636    -0.10   0.920    -12.52682    11.36741
 towndummy15 |  -2.141643   3.604327    -0.59   0.560    -9.746108    5.462821
 towndummy16 |  -2.148671    6.23283    -0.34   0.735    -15.29879    11.00145
 towndummy17 |   34.07446   5.412386     6.30   0.000     22.65533     45.4936
 towndummy18 |          0  (omitted)
 towndummy19 |   .2895493   1.090933     0.27   0.794    -2.012118    2.591216
 towndummy20 |          0  (omitted)
 towndummy21 |          0  (omitted)
 towndummy22 |   4.456278   6.728427     0.66   0.517    -9.739462    18.65202
 towndummy23 |          0  (omitted)
 towndummy24 |  -8.419434   5.895241    -1.43   0.171    -20.85731    4.018438
 towndummy25 |   6.401708    8.25744     0.78   0.449    -11.01997    23.82338
 towndummy26 |   .5414949   6.648084     0.08   0.936    -13.48474    14.56773
       _cons |   9.646257   9.713704     0.99   0.335    -10.84787    30.14038
------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured
Instruments:   snow sow0 towndummy1 towndummy2 towndummy3 towndummy4
               towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3 snow_groupd2
               snow_groupd3
------------------------------------------------------------------------------

. 
.  
. ivreg sow3 snow sow0 (insuredpig snow_insured insured_house =groupd2-groupd3 snow_groupd2 snow_groupd3 house_g
> roupd2 house_groupd3) lnhouse  snow_house towndummy*,robust cluster(townid) 

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  6,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.8229
                                                       Root MSE      =  15.027

                                 (Std. Err. adjusted for 18 clusters in townid)
-------------------------------------------------------------------------------
              |               Robust
         sow3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
   insuredpig |  -2.730277   4.119502    -0.66   0.516    -11.42167    5.961112
 snow_insured |   .0944976   .0434778     2.17   0.044     .0027675    .1862277
insured_house |   .3462632   .4197993     0.82   0.421    -.5394359    1.231962
         snow |  -52.81038   49.90334    -1.06   0.305    -158.0972    52.47646
         sow0 |   .5066745    .229338     2.21   0.041     .0228137    .9905353
      lnhouse |  -3.429346    6.09668    -0.56   0.581    -16.29222    9.433524
   snow_house |   5.273736   4.804632     1.10   0.288    -4.863151    15.41062
   towndummy1 |  -17.76567   4.331303    -4.10   0.001    -26.90392   -8.627422
   towndummy2 |          0  (omitted)
   towndummy3 |          0  (omitted)
   towndummy4 |  -24.02862   6.513613    -3.69   0.002    -37.77114   -10.28609
   towndummy5 |          0  (omitted)
   towndummy6 |   12.98148   5.232231     2.48   0.024     1.942434    24.02052
   towndummy7 |  -4.998848   3.347262    -1.49   0.154    -12.06095    2.063259
   towndummy8 |  -8.696796   6.817049    -1.28   0.219    -23.07951     5.68592
   towndummy9 |  -14.23759   5.304676    -2.68   0.016    -25.42947   -3.045698
  towndummy10 |  -19.10375   7.280828    -2.62   0.018    -34.46496   -3.742546
  towndummy11 |          0  (omitted)
  towndummy12 |  -26.16096   7.019667    -3.73   0.002    -40.97116   -11.35076
  towndummy13 |          0  (omitted)
  towndummy14 |  -17.58775   3.721414    -4.73   0.000    -25.43924   -9.736248
  towndummy15 |  -20.60239   4.551887    -4.53   0.000    -30.20603   -10.99874
  towndummy16 |  -20.34267   5.210742    -3.90   0.001    -31.33637   -9.348962
  towndummy17 |    16.7445   4.381352     3.82   0.001     7.500659    25.98835
  towndummy18 |          0  (omitted)
  towndummy19 |  -15.73922   4.195435    -3.75   0.002    -24.59082   -6.887629
  towndummy20 |          0  (omitted)
  towndummy21 |          0  (omitted)
  towndummy22 |  -12.68667   4.939382    -2.57   0.020    -23.10786   -2.265487
  towndummy23 |          0  (omitted)
  towndummy24 |  -28.03096   5.713589    -4.91   0.000    -40.08558   -15.97634
  towndummy25 |  -13.80185   7.098827    -1.94   0.069    -28.77907    1.175362
  towndummy26 |  -16.17342    4.76989    -3.39   0.003    -26.23701   -6.109833
        _cons |    62.8209   63.80429     0.98   0.339    -71.79438    197.4362
-------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured insured_house
Instruments:   snow sow0 lnhouse snow_house towndummy1 towndummy2 towndummy3
               towndummy4 towndummy5 towndummy6 towndummy7 towndummy8
               towndummy9 towndummy10 towndummy11 towndummy12 towndummy13
               towndummy14 towndummy15 towndummy16 towndummy17 towndummy18
               towndummy19 towndummy20 towndummy21 towndummy22 towndummy23
               towndummy24 towndummy25 towndummy26 groupd2 groupd3
               snow_groupd2 snow_groupd3 house_groupd2 house_groupd3
-------------------------------------------------------------------------------

. 
. ivreg sow3 snow sow0 (insuredpig snow_insured insured_house insured_house_snow =groupd2-groupd3 snow_groupd2 s
> now_groupd3 house_groupd2 house_groupd3 house_snow_gd2 house_snow_gd3) lnhouse snow_house  towndummy*,robust c
> luster(townid)  

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  7,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.8383
                                                       Root MSE      =  14.386

                                      (Std. Err. adjusted for 18 clusters in townid)
------------------------------------------------------------------------------------
                   |               Robust
              sow3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
        insuredpig |  -.7915942   2.365942    -0.33   0.742    -5.783296    4.200107
      snow_insured |   .8318675    .814782     1.02   0.322    -.8871723    2.550907
     insured_house |   .1477679   .2384589     0.62   0.544    -.3553364    .6508722
insured_house_snow |  -.0710716   .0758359    -0.94   0.362    -.2310714    .0889282
              snow |  -67.49179   57.75193    -1.17   0.259    -189.3377    54.35414
              sow0 |   .4986094   .2290967     2.18   0.044     .0152576    .9819611
           lnhouse |  -.8334928   4.832897    -0.17   0.865    -11.03002    9.363029
        snow_house |   6.673426   5.537607     1.21   0.245    -5.009904    18.35676
        towndummy1 |  -5.679411   3.685868    -1.54   0.142    -13.45591    2.097092
        towndummy2 |          0  (omitted)
        towndummy3 |          0  (omitted)
        towndummy4 |  -10.32079   1.518603    -6.80   0.000    -13.52476   -7.116814
        towndummy5 |          0  (omitted)
        towndummy6 |   26.20785   2.182172    12.01   0.000     21.60387    30.81183
        towndummy7 |   6.981306   3.606239     1.94   0.070    -.6271933     14.5898
        towndummy8 |    1.85064   5.754719     0.32   0.752    -10.29076    13.99204
        towndummy9 |   -.621436   2.903406    -0.21   0.833    -6.747086    5.504214
       towndummy10 |  -4.079251   7.811473    -0.52   0.608    -20.56002    12.40152
       towndummy11 |   9.565491   7.674603     1.25   0.230    -6.626505    25.75749
       towndummy12 |  -12.80092   1.050276   -12.19   0.000    -15.01681   -10.58503
       towndummy13 |          0  (omitted)
       towndummy14 |  -5.149679   3.256709    -1.58   0.132    -12.02073    1.721377
       towndummy15 |  -7.166488   5.025556    -1.43   0.172    -17.76948     3.43651
       towndummy16 |  -7.094423    2.10386    -3.37   0.004    -11.53318   -2.655667
       towndummy17 |   29.99704   3.308197     9.07   0.000     23.01735    36.97672
       towndummy18 |          0  (omitted)
       towndummy19 |   -2.87906   7.280052    -0.40   0.697    -18.23863    12.48051
       towndummy20 |          0  (omitted)
       towndummy21 |          0  (omitted)
       towndummy22 |   .0758674    1.90309     0.04   0.969    -3.939301    4.091036
       towndummy23 |          0  (omitted)
       towndummy24 |  -14.01673   3.098156    -4.52   0.000    -20.55327   -7.480188
       towndummy25 |          0  (omitted)
       towndummy26 |  -3.360809   2.214921    -1.52   0.148    -8.033885    1.312267
             _cons |   24.39829   46.65327     0.52   0.608     -74.0315    122.8281
------------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured insured_house insured_house_snow
Instruments:   snow sow0 lnhouse snow_house towndummy1 towndummy2 towndummy3
               towndummy4 towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3 snow_groupd2 snow_groupd3
               house_groupd2 house_groupd3 house_snow_gd2 house_snow_gd3
------------------------------------------------------------------------------------

. 
. ivreg sow3 snow sow0 (insuredpig snow_insured insured_edu insured_edu_snow =groupd2-groupd3 snow_groupd2 snow_
> groupd3 edu_groupd2 edu_groupd3 edu_snow_gd2 edu_snow_gd3) edu_vil  snow_edu   towndummy*,robust cluster(towni
> d) 

Instrumental variables (2SLS) regression               Number of obs =     318
                                                       F(  7,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.8014
                                                       Root MSE      =  15.969

                                    (Std. Err. adjusted for 18 clusters in townid)
----------------------------------------------------------------------------------
                 |               Robust
            sow3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      insuredpig |  -1.902867   2.661855    -0.71   0.484     -7.51889    3.713156
    snow_insured |   1.067857   .6545319     1.63   0.121    -.3130842    2.448799
     insured_edu |   .3963126   .4445116     0.89   0.385    -.5415249     1.33415
insured_edu_snow |  -.1516262   .1035506    -1.46   0.161    -.3700988    .0668465
            snow |  -57.05185   28.85801    -1.98   0.064    -117.9369    3.833228
            sow0 |   .6483396   .2371838     2.73   0.014     .1479256    1.148754
         edu_vil |  -6.183992   8.143382    -0.76   0.458    -23.36503    10.99704
        snow_edu |   9.205707   4.484159     2.05   0.056    -.2550426    18.66646
      towndummy1 |  -5.359715   8.642701    -0.62   0.543    -23.59422    12.87479
      towndummy2 |          0  (omitted)
      towndummy3 |          0  (omitted)
      towndummy4 |  -11.86121   9.293342    -1.28   0.219    -31.46844    7.746032
      towndummy5 |          0  (omitted)
      towndummy6 |   24.40573   7.552888     3.23   0.005     8.470527    40.34093
      towndummy7 |   5.073001   6.015389     0.84   0.411     -7.61836    17.76436
      towndummy8 |   2.646719   9.449033     0.28   0.783      -17.289    22.58244
      towndummy9 |  -.7142779   7.092734    -0.10   0.921    -15.67864    14.25008
     towndummy10 |          0  (omitted)
     towndummy11 |   9.583426   6.434952     1.49   0.155    -3.993135    23.15999
     towndummy12 |  -14.96842   8.933935    -1.68   0.112    -33.81738     3.88053
     towndummy13 |          0  (omitted)
     towndummy14 |  -5.701834   6.405445    -0.89   0.386    -19.21614    7.812474
     towndummy15 |  -5.223098   4.548511    -1.15   0.267    -14.81962     4.37342
     towndummy16 |  -8.958019   6.755367    -1.33   0.202     -23.2106    5.294561
     towndummy17 |   28.13332   6.060295     4.64   0.000     15.34721    40.91943
     towndummy18 |          0  (omitted)
     towndummy19 |   .4850189   3.493195     0.14   0.891    -6.884978    7.855016
     towndummy20 |          0  (omitted)
     towndummy21 |          0  (omitted)
     towndummy22 |  -2.153013    7.27614    -0.30   0.771    -17.50433     13.1983
     towndummy23 |          0  (omitted)
     towndummy24 |   -9.35614   7.664729    -1.22   0.239     -25.5273    6.815024
     towndummy25 |  -4.023082   9.141925    -0.44   0.665    -23.31086    15.26469
     towndummy26 |  -4.344829   7.300106    -0.60   0.560    -19.74671    11.05705
           _cons |   55.31386   48.07194     1.15   0.266    -46.10908    156.7368
----------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured insured_edu insured_edu_snow
Instruments:   snow sow0 edu_vil snow_edu towndummy1 towndummy2 towndummy3
               towndummy4 towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3 snow_groupd2 snow_groupd3
               edu_groupd2 edu_groupd3 edu_snow_gd2 edu_snow_gd3
----------------------------------------------------------------------------------

. 
.  
. 
. 
. ******Table C2: IV Estimates of the Effect of Sow Deaths During the Snow Storm on Sow Production in June 2008.
. 
. ivreg sow4 snow sow0 (insuredpig=groupd2-groupd3) towndummy*,robust cluster(townid) 

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  2,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.7725
                                                       Root MSE      =  18.593

                                (Std. Err. adjusted for 18 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
        sow4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  insuredpig |   .8234298   .3677521     2.24   0.039     .0475407    1.599319
        snow |    5.22956   2.671184     1.96   0.067    -.4061468    10.86527
        sow0 |   .5357837   .2646406     2.02   0.059    -.0225592    1.094127
  towndummy1 |   13.00573   2.577843     5.05   0.000     7.566954     18.4445
  towndummy2 |          0  (omitted)
  towndummy3 |          0  (omitted)
  towndummy4 |   3.953199   .8560184     4.62   0.000     2.147158     5.75924
  towndummy5 |          0  (omitted)
  towndummy6 |   43.78841   2.778682    15.76   0.000      37.9259    49.65092
  towndummy7 |   22.82166   4.496231     5.08   0.000     13.33544    32.30787
  towndummy8 |   28.57994   4.947493     5.78   0.000     18.14164    39.01823
  towndummy9 |   19.55334   3.636756     5.38   0.000     11.88046    27.22623
 towndummy10 |    12.8068   10.09027     1.27   0.221     -8.48181    34.09541
 towndummy11 |   37.42745   10.40455     3.60   0.002     15.47577    59.37913
 towndummy12 |          0  (omitted)
 towndummy13 |          0  (omitted)
 towndummy14 |   16.57632   4.593049     3.61   0.002     6.885832     26.2668
 towndummy15 |   9.656151    6.88584     1.40   0.179      -4.8717      24.184
 towndummy16 |   7.218224   3.923292     1.84   0.083    -1.059198    15.49565
 towndummy17 |   49.66587   4.042459    12.29   0.000     41.13702    58.19471
 towndummy18 |          0  (omitted)
 towndummy19 |   12.56977   9.357469     1.34   0.197    -7.172768     32.3123
 towndummy20 |          0  (omitted)
 towndummy21 |          0  (omitted)
 towndummy22 |   15.31554   3.210349     4.77   0.000     8.542291    22.08878
 towndummy23 |          0  (omitted)
 towndummy24 |    5.72745   3.449327     1.66   0.115    -1.549993    13.00489
 towndummy25 |   17.54052   1.776309     9.87   0.000     13.79283     21.2882
 towndummy26 |   10.69035    3.12309     3.42   0.003     4.101207    17.27949
       _cons |  -1.218376   3.490011    -0.35   0.731    -8.581655    6.144904
------------------------------------------------------------------------------
Instrumented:  insuredpig
Instruments:   snow sow0 towndummy1 towndummy2 towndummy3 towndummy4
               towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3
------------------------------------------------------------------------------

. 
. ivreg sow4 snow sow0 (insuredpig snow_insured =groupd2-groupd3 snow_groupd2 snow_groupd3)    towndummy*,robust
>  cluster(townid)  

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  3,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.7877
                                                       Root MSE      =  17.988

                                (Std. Err. adjusted for 18 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
        sow4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  insuredpig |   .7734215   .3890593     1.99   0.063    -.0474218    1.594265
snow_insured |   .0685215   .0543922     1.26   0.225     -.046236    .1832789
        snow |   2.767837   .8572566     3.23   0.005     .9591834     4.57649
        sow0 |   .5478843   .2690895     2.04   0.058    -.0198449    1.115613
  towndummy1 |  -1.203974   9.431408    -0.13   0.900    -21.10251    18.69456
  towndummy2 |          0  (omitted)
  towndummy3 |          0  (omitted)
  towndummy4 |  -9.674996   10.62137    -0.91   0.375    -32.08414    12.73414
  towndummy5 |          0  (omitted)
  towndummy6 |   30.07472     8.2408     3.65   0.002     12.68815    47.46129
  towndummy7 |   8.912284   6.668427     1.34   0.199    -5.156867    22.98144
  towndummy8 |   11.56819   7.736027     1.50   0.153    -4.753405    27.88978
  towndummy9 |   5.564899    7.85154     0.71   0.488     -11.0004     22.1302
 towndummy10 |          0  (omitted)
 towndummy11 |   20.68704   4.759593     4.35   0.000     10.64518    30.72891
 towndummy12 |  -12.62248   10.20799    -1.24   0.233    -34.15946    8.914497
 towndummy13 |          0  (omitted)
 towndummy14 |   2.535498   7.012349     0.36   0.722    -12.25927    17.33026
 towndummy15 |  -4.049073   4.457406    -0.91   0.376    -13.45338    5.355232
 towndummy16 |  -6.883541   7.710572    -0.89   0.384    -23.15143    9.384344
 towndummy17 |   36.03734   6.668603     5.40   0.000     21.96781    50.10686
 towndummy18 |          0  (omitted)
 towndummy19 |    -.84719    1.33688    -0.63   0.535     -3.66776     1.97338
 towndummy20 |          0  (omitted)
 towndummy21 |          0  (omitted)
 towndummy22 |   1.210677    8.30404     0.15   0.886    -16.30932    18.73067
 towndummy23 |          0  (omitted)
 towndummy24 |  -8.007688   7.257057    -1.10   0.285    -23.31874    7.303364
 towndummy25 |   3.415533   10.21364     0.33   0.742    -18.13336    24.96442
 towndummy26 |   -3.26616   8.214028    -0.40   0.696    -20.59624    14.06392
       _cons |   13.63359   12.02072     1.13   0.272    -11.72792    38.99509
------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured
Instruments:   snow sow0 towndummy1 towndummy2 towndummy3 towndummy4
               towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3 snow_groupd2
               snow_groupd3
------------------------------------------------------------------------------

. 
.  
. ivreg sow4 snow sow0 (insuredpig snow_insured insured_house =groupd2-groupd3 snow_groupd2 snow_groupd3 house_g
> roupd2 house_groupd3) lnhouse  snow_house towndummy*,robust cluster(townid)

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  6,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.8040
                                                       Root MSE      =  17.373

                                 (Std. Err. adjusted for 18 clusters in townid)
-------------------------------------------------------------------------------
              |               Robust
         sow4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
   insuredpig |  -2.622771   5.107386    -0.51   0.614    -13.39841    8.152872
 snow_insured |   .0918923   .0596024     1.54   0.142    -.0338579    .2176424
insured_house |   .3394846    .523728     0.65   0.526    -.7654849    1.444454
         snow |  -54.66627   58.69837    -0.93   0.365     -178.509    69.17647
         sow0 |   .5451266   .2786711     1.96   0.067    -.0428181    1.133071
      lnhouse |   -2.92406   7.586952    -0.39   0.705    -18.93113    13.08301
   snow_house |   5.474985   5.657419     0.97   0.347    -6.461125     17.4111
   towndummy1 |  -27.38284    5.30452    -5.16   0.000     -38.5744   -16.19128
   towndummy2 |          0  (omitted)
   towndummy3 |          0  (omitted)
   towndummy4 |  -37.13802   7.361095    -5.05   0.000    -52.66857   -21.60746
   towndummy5 |          0  (omitted)
   towndummy6 |   2.471034   5.810725     0.43   0.676    -9.788525    14.73059
   towndummy7 |  -14.86768   3.722235    -3.99   0.001    -22.72091   -7.014454
   towndummy8 |  -16.74888   8.090725    -2.07   0.054    -33.81882    .3210539
   towndummy9 |  -22.84513   5.985249    -3.82   0.001     -35.4729   -10.21736
  towndummy10 |  -27.13864   9.028565    -3.01   0.008    -46.18724   -8.090028
  towndummy11 |          0  (omitted)
  towndummy12 |  -38.94268   7.741459    -5.03   0.000    -55.27573   -22.60962
  towndummy13 |          0  (omitted)
  towndummy14 |  -22.89086   4.040476    -5.67   0.000    -31.41552   -14.36621
  towndummy15 |  -30.82167    5.18425    -5.95   0.000    -41.75949   -19.88386
  towndummy16 |  -33.41496   5.659272    -5.90   0.000    -45.35498   -21.47494
  towndummy17 |   10.25247   4.822617     2.13   0.048     .0776322     20.4273
  towndummy18 |          0  (omitted)
  towndummy19 |  -25.05503   5.157347    -4.86   0.000    -35.93608   -14.17398
  towndummy20 |          0  (omitted)
  towndummy21 |          0  (omitted)
  towndummy22 |  -24.30615    5.39277    -4.51   0.000     -35.6839    -12.9284
  towndummy23 |          0  (omitted)
  towndummy24 |  -36.29181   6.496956    -5.59   0.000    -49.99919   -22.58443
  towndummy25 |  -25.33568   7.943356    -3.19   0.005    -42.09469    -8.57666
  towndummy26 |  -28.36685   5.195812    -5.46   0.000    -39.32906   -17.40465
        _cons |   70.53024    77.8801     0.91   0.378     -93.7824    234.8429
-------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured insured_house
Instruments:   snow sow0 lnhouse snow_house towndummy1 towndummy2 towndummy3
               towndummy4 towndummy5 towndummy6 towndummy7 towndummy8
               towndummy9 towndummy10 towndummy11 towndummy12 towndummy13
               towndummy14 towndummy15 towndummy16 towndummy17 towndummy18
               towndummy19 towndummy20 towndummy21 towndummy22 towndummy23
               towndummy24 towndummy25 towndummy26 groupd2 groupd3
               snow_groupd2 snow_groupd3 house_groupd2 house_groupd3
-------------------------------------------------------------------------------

. 
. ivreg sow4 snow sow0 (insuredpig snow_insured insured_house insured_house_snow =groupd2-groupd3 snow_groupd2 s
> now_groupd3 house_groupd2 house_groupd3 house_snow_gd2 house_snow_gd3) lnhouse snow_house towndummy*,robust cl
> uster(townid)  

Instrumental variables (2SLS) regression               Number of obs =     321
                                                       F(  7,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.8230
                                                       Root MSE      =   16.54

                                      (Std. Err. adjusted for 18 clusters in townid)
------------------------------------------------------------------------------------
                   |               Robust
              sow4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
        insuredpig |   .2667179   3.090411     0.09   0.932    -6.253478    6.786914
      snow_insured |   1.299064   .7345087     1.77   0.095    -.2506142    2.848742
     insured_house |   .0434293   .3157229     0.14   0.892    -.6226878    .7095465
insured_house_snow |  -.1162703   .0650131    -1.79   0.092     -.253436    .0208954
              snow |  -78.87973   71.64978    -1.10   0.286    -230.0475    72.28808
              sow0 |   .5287607   .2768461     1.91   0.073    -.0553335    1.112855
           lnhouse |   .8273881   6.346989     0.13   0.898    -12.56359    14.21836
        snow_house |   7.777987   6.865457     1.13   0.273     -6.70686    22.26284
        towndummy1 |  -4.511244   4.751081    -0.95   0.356    -14.53515    5.512661
        towndummy2 |          0  (omitted)
        towndummy3 |          0  (omitted)
        towndummy4 |  -11.82095   1.996839    -5.92   0.000    -16.03391   -7.607982
        towndummy5 |          0  (omitted)
        towndummy6 |    27.0192   2.719651     9.93   0.000     21.28124    32.75716
        towndummy7 |   7.750703   4.491605     1.73   0.103    -1.725755    17.22716
        towndummy8 |   3.183561   6.357088     0.50   0.623    -10.22872    16.59584
        towndummy9 |   2.303296   3.668325     0.63   0.538    -5.436192    10.04278
       towndummy10 |   .1482533   10.42385     0.01   0.989    -21.84414    22.14064
       towndummy11 |   18.78884   9.376246     2.00   0.061    -.9933098    38.57099
       towndummy12 |  -14.23435   1.417185   -10.04   0.000    -17.22435   -11.24435
       towndummy13 |          0  (omitted)
       towndummy14 |   .4068763   4.057277     0.10   0.921    -8.153229    8.966982
       towndummy15 |  -6.013279   6.367706    -0.94   0.358    -19.44796    7.421406
       towndummy16 |  -8.927376    2.74465    -3.25   0.005    -14.71808   -3.136671
       towndummy17 |   34.86389   4.234611     8.23   0.000     25.92964    43.79813
       towndummy18 |          0  (omitted)
       towndummy19 |  -1.085994   9.222299    -0.12   0.908    -20.54334    18.37136
       towndummy20 |          0  (omitted)
       towndummy21 |          0  (omitted)
       towndummy22 |  -.5261183   2.470822    -0.21   0.834    -5.739096     4.68686
       towndummy23 |          0  (omitted)
       towndummy24 |  -10.48356   3.939814    -2.66   0.016    -18.79584   -2.171281
       towndummy25 |          0  (omitted)
       towndummy26 |  -4.496835   2.781987    -1.62   0.124    -10.36632    1.372645
             _cons |    9.70987   60.99117     0.16   0.875    -118.9703      138.39
------------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured insured_house insured_house_snow
Instruments:   snow sow0 lnhouse snow_house towndummy1 towndummy2 towndummy3
               towndummy4 towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3 snow_groupd2 snow_groupd3
               house_groupd2 house_groupd3 house_snow_gd2 house_snow_gd3
------------------------------------------------------------------------------------

. ivreg sow4 snow sow0 (insuredpig snow_insured insured_edu insured_edu_snow =groupd2-groupd3 snow_groupd2 snow_
> groupd3 edu_groupd2 edu_groupd3 edu_snow_gd2 edu_snow_gd3) edu_vil  snow_edu towndummy*,robust cluster(townid)

Instrumental variables (2SLS) regression               Number of obs =     318
                                                       F(  7,    17) =       .
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.7876
                                                       Root MSE      =  18.138

                                    (Std. Err. adjusted for 18 clusters in townid)
----------------------------------------------------------------------------------
                 |               Robust
            sow4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
      insuredpig |  -2.798505   3.277732    -0.85   0.405    -9.713916    4.116906
    snow_insured |   1.436453   .5181999     2.77   0.013     .3431464    2.529759
     insured_edu |    .555447   .5455082     1.02   0.323    -.5954746    1.706369
insured_edu_snow |  -.2112314   .0823109    -2.57   0.020    -.3848923   -.0375705
            snow |  -65.84315   34.84186    -1.89   0.076    -139.3531    7.666763
            sow0 |   .6554237   .2549269     2.57   0.020      .117575    1.193272
         edu_vil |  -8.740352   9.578073    -0.91   0.374    -28.94832    11.46761
        snow_edu |   10.61478   5.394558     1.97   0.066    -.7667402    21.99631
      towndummy1 |  -5.827072   9.267952    -0.63   0.538    -25.38074     13.7266
      towndummy2 |          0  (omitted)
      towndummy3 |          0  (omitted)
      towndummy4 |  -16.28134   9.810151    -1.66   0.115    -36.97895    4.416267
      towndummy5 |          0  (omitted)
      towndummy6 |   21.98787   7.996069     2.75   0.014     5.117634     38.8581
      towndummy7 |    3.11874   6.318775     0.49   0.628    -10.21271    16.45019
      towndummy8 |   1.122354   10.63133     0.11   0.917     -21.3078    23.55251
      towndummy9 |  -.9817927   7.401037    -0.13   0.896    -16.59662    14.63303
     towndummy10 |          0  (omitted)
     towndummy11 |   17.47784   8.255858     2.12   0.049     .0595012    34.89618
     towndummy12 |  -19.47771   9.641274    -2.02   0.059    -39.81902    .8636042
     towndummy13 |          0  (omitted)
     towndummy14 |  -2.855153   6.676225    -0.43   0.674    -16.94076    11.23045
     towndummy15 |  -7.304037   4.919254    -1.48   0.156    -17.68276    3.074683
     towndummy16 |  -14.49187   7.352079    -1.97   0.065     -30.0034    1.019661
     towndummy17 |   29.56775   6.385027     4.63   0.000     16.09652    43.03898
     towndummy18 |          0  (omitted)
     towndummy19 |  -.3710908   4.189002    -0.09   0.930    -9.209112     8.46693
     towndummy20 |          0  (omitted)
     towndummy21 |          0  (omitted)
     towndummy22 |  -5.850681   7.633744    -0.77   0.454    -21.95647    10.25511
     towndummy23 |          0  (omitted)
     towndummy24 |  -7.991552   8.584565    -0.93   0.365     -26.1034     10.1203
     towndummy25 |  -8.522611   9.998363    -0.85   0.406    -29.61731    12.57209
     towndummy26 |  -8.216855   7.940447    -1.03   0.315    -24.96973    8.536024
           _cons |   75.13028   56.65934     1.33   0.202    -44.41048     194.671
----------------------------------------------------------------------------------
Instrumented:  insuredpig snow_insured insured_edu insured_edu_snow
Instruments:   snow sow0 edu_vil snow_edu towndummy1 towndummy2 towndummy3
               towndummy4 towndummy5 towndummy6 towndummy7 towndummy8 towndummy9
               towndummy10 towndummy11 towndummy12 towndummy13 towndummy14
               towndummy15 towndummy16 towndummy17 towndummy18 towndummy19
               towndummy20 towndummy21 towndummy22 towndummy23 towndummy24
               towndummy25 towndummy26 groupd2 groupd3 snow_groupd2 snow_groupd3
               edu_groupd2 edu_groupd3 edu_snow_gd2 edu_snow_gd3
----------------------------------------------------------------------------------

. ***********************************************************************************************
. ***********************************************************************************************
. ***Table D: The Relationship Between the Number of Villagers Participating in the New Rural Health Coop (Colum
> ns 1-4)
. *** and the Number of Households Receiving Government Subsidies (Columns 5-8) and the Purchase of the Sow Insu
> rance:
. *** Some Preliminary Evidence for the Role of Trust for Government. 
.    
.  *************Examining the Role of Trust *********
. *****APPENDIX Table D : Coop and insured sows ************
. 
. reg insuredpig no_xnh sow0  ,robust cluster(townid)

Linear regression                                      Number of obs =     471
                                                       F(  2,    25) =   10.34
                                                       Prob > F      =  0.0005
                                                       R-squared     =  0.3549
                                                       Root MSE      =  21.738

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      no_xnh |   .0124094   .0069062     1.80   0.084    -.0018142    .0266331
        sow0 |   .6761877   .2495475     2.71   0.012     .1622351     1.19014
       _cons |   5.135217   2.923949     1.76   0.091    -.8867691     11.1572
------------------------------------------------------------------------------

. 
. 
. reg insuredpig no_xnh sow0 groupd2 groupd3,robust cluster(townid)   

Linear regression                                      Number of obs =     471
                                                       F(  4,    25) =    7.74
                                                       Prob > F      =  0.0003
                                                       R-squared     =  0.3896
                                                       Root MSE      =   21.19

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      no_xnh |    .012092    .006615     1.83   0.080    -.0015319    .0257159
        sow0 |   .6848382   .2384255     2.87   0.008     .1937917    1.175885
     groupd2 |   9.849925   2.490631     3.95   0.001     4.720374    14.97948
     groupd3 |   12.21507   3.103161     3.94   0.001     5.823995    18.60615
       _cons |  -3.418885    3.96432    -0.86   0.397    -11.58355    4.745785
------------------------------------------------------------------------------

. 
. reg insuredpig no_xnh sow0   towndummy*  ,robust cluster(townid)  
note: towndummy13 omitted because of collinearity

Linear regression                                      Number of obs =     471
                                                       F(  1,    25) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4485
                                                       Root MSE      =   20.66

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      no_xnh |   .0148836   .0082352     1.81   0.083    -.0020771    .0318443
        sow0 |   .6004559   .2626351     2.29   0.031     .0595487    1.141363
  towndummy1 |   -2.70715   1.689426    -1.60   0.122    -6.186589    .7722893
  towndummy2 |   7.579976   3.331367     2.28   0.032     .7188976    14.44106
  towndummy3 |   16.24131   4.867514     3.34   0.003     6.216477    26.26614
  towndummy4 |  -4.766529   1.771853    -2.69   0.013    -8.415728   -1.117331
  towndummy5 |   7.490657   2.659008     2.82   0.009     2.014327    12.96699
  towndummy6 |   .2477207   2.472065     0.10   0.921    -4.843592    5.339034
  towndummy7 |   6.108024   1.699753     3.59   0.001     2.607317    9.608731
  towndummy8 |  -.3223354   5.993332    -0.05   0.958    -12.66583    12.02116
  towndummy9 |   -1.78205   3.573751    -0.50   0.622    -9.142329    5.578228
 towndummy10 |   25.63094   5.220343     4.91   0.000     14.87944    36.38244
 towndummy11 |   24.69072   6.768732     3.65   0.001     10.75026    38.63119
 towndummy12 |  -1.336901   3.158233    -0.42   0.676    -7.841403    5.167602
 towndummy13 |          0  (omitted)
 towndummy14 |   7.192123   .7121857    10.10   0.000     5.725349    8.658897
 towndummy15 |    12.4254   1.152066    10.79   0.000     10.05268    14.79812
 towndummy16 |   3.790973   1.263282     3.00   0.006     1.189194    6.392752
 towndummy17 |   3.038834    3.46317     0.88   0.389    -4.093697    10.17137
 towndummy18 |   3.865923   3.899561     0.99   0.331    -4.165373    11.89722
 towndummy19 |   22.62339   2.812249     8.04   0.000     16.83145    28.41532
 towndummy20 |   6.098831   3.911589     1.56   0.132    -1.957238     14.1549
 towndummy21 |   9.288565   2.120994     4.38   0.000     4.920297    13.65683
 towndummy22 |   1.827803   2.095124     0.87   0.391    -2.487186    6.142792
 towndummy23 |  -2.263551   2.740585    -0.83   0.417    -7.907893     3.38079
 towndummy24 |   2.335981   2.818608     0.83   0.415     -3.46905    8.141012
 towndummy25 |   .1001517   .6604335     0.15   0.881    -1.260037     1.46034
 towndummy26 |   1.806182   1.538159     1.17   0.251    -1.361717     4.97408
       _cons |   -.257639   2.652827    -0.10   0.923    -5.721238     5.20596
------------------------------------------------------------------------------

. 
. reg insuredpig no_xnh sow0 groupd2 groupd3 towndummy* ,robust cluster(townid) 
note: towndummy13 omitted because of collinearity

Linear regression                                      Number of obs =     471
                                                       F(  3,    25) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4783
                                                       Root MSE      =  20.138

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      no_xnh |      .0144   .0078758     1.83   0.079    -.0018206    .0306206
        sow0 |   .6115712   .2518524     2.43   0.023     .0928715    1.130271
     groupd2 |   9.397078   2.717686     3.46   0.002     3.799899    14.99426
     groupd3 |   11.54812   2.959168     3.90   0.001     5.453601    17.64264
  towndummy1 |  -1.681145   1.534803    -1.10   0.284    -4.842131     1.47984
  towndummy2 |   7.406931   3.085717     2.40   0.024     1.051777    13.76209
  towndummy3 |   17.27606   4.622751     3.74   0.001      7.75533     26.7968
  towndummy4 |  -5.385218   1.759253    -3.06   0.005    -9.008468   -1.761969
  towndummy5 |   8.192403   2.668786     3.07   0.005     2.695935    13.68887
  towndummy6 |   .7700355   2.329555     0.33   0.744    -4.027773    5.567844
  towndummy7 |   5.146175   1.771622     2.90   0.008     1.497451    8.794898
  towndummy8 |    .279956   5.691346     0.05   0.961    -11.44159     12.0015
  towndummy9 |  -2.613826   3.535772    -0.74   0.467    -9.895885    4.668232
 towndummy10 |    24.0139   4.942717     4.86   0.000     13.83419    34.19362
 towndummy11 |   22.65134   6.512444     3.48   0.002     9.238714    36.06397
 towndummy12 |  -1.545784   2.919098    -0.53   0.601    -7.557779    4.466211
 towndummy13 |          0  (omitted)
 towndummy14 |   8.803352   .6712018    13.12   0.000     7.420986    10.18572
 towndummy15 |   12.07851   1.133575    10.66   0.000      9.74387    14.41315
 towndummy16 |   4.590058   1.115855     4.11   0.000     2.291912    6.888204
 towndummy17 |   3.638018   3.175256     1.15   0.263    -2.901544    10.17758
 towndummy18 |   3.637608    3.80932     0.95   0.349    -4.207834    11.48305
 towndummy19 |   21.37495   2.776049     7.70   0.000     15.65757    27.09233
 towndummy20 |   6.088839   3.798993     1.60   0.122    -1.735335    13.91301
 towndummy21 |   10.40771    2.05175     5.07   0.000     6.182053    14.63337
 towndummy22 |   1.321654   2.009475     0.66   0.517    -2.816938    5.460245
 towndummy23 |  -2.865846   2.724257    -1.05   0.303    -8.476557    2.744865
 towndummy24 |   2.788526   2.743941     1.02   0.319    -2.862726    8.439779
 towndummy25 |  -2.038431   .7942822    -2.57   0.017    -3.674286   -.4025763
 towndummy26 |   1.124382   1.503851     0.75   0.462    -1.972857    4.221622
       _cons |  -8.264623   3.749794    -2.20   0.037    -15.98747   -.5417784
------------------------------------------------------------------------------

. 
. *****************
. ****APPENDIX Table D:  Subsidy from gov and insured sows *********
. 
. reg insuredpig subsidy sow0    ,robust cluster(townid)

Linear regression                                      Number of obs =     471
                                                       F(  2,    25) =   15.33
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.3710
                                                       Root MSE      =  21.466

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     subsidy |   .0564744    .019364     2.92   0.007     .0165935    .0963554
        sow0 |   .6509641   .2485062     2.62   0.015      .139156    1.162772
       _cons |   2.102402    2.93952     0.72   0.481    -3.951652    8.156456
------------------------------------------------------------------------------

. 
. reg insuredpig subsidy sow0 groupd2 groupd3      ,robust cluster(townid)

Linear regression                                      Number of obs =     471
                                                       F(  4,    25) =    8.78
                                                       Prob > F      =  0.0001
                                                       R-squared     =  0.4059
                                                       Root MSE      =  20.906

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     subsidy |   .0559063   .0187951     2.97   0.006     .0171972    .0946155
        sow0 |   .6588564   .2371633     2.78   0.010     .1704094    1.147303
     groupd2 |   9.722864   2.540309     3.83   0.001     4.490999    14.95473
     groupd3 |   12.27782   3.133747     3.92   0.001     5.823749    18.73189
       _cons |  -6.510536   4.219246    -1.54   0.135    -15.20024    2.179164
------------------------------------------------------------------------------

. 
. reg insuredpig subsidy sow0   towndummy*  ,robust cluster(townid)
note: towndummy13 omitted because of collinearity

Linear regression                                      Number of obs =     471
                                                       F(  1,    25) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4613
                                                       Root MSE      =  20.418

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     subsidy |   .0610356   .0220258     2.77   0.010     .0156726    .1063985
        sow0 |    .585636   .2613196     2.24   0.034     .0474383    1.123834
  towndummy1 |  -1.740262   .9077008    -1.92   0.067    -3.609707    .1291831
  towndummy2 |   6.173856     3.1898     1.94   0.064    -.3956598    12.74337
  towndummy3 |   14.94405   4.818316     3.10   0.005      5.02054    24.86756
  towndummy4 |  -4.266384   1.451903    -2.94   0.007    -7.256634   -1.276134
  towndummy5 |   6.677553   2.576076     2.59   0.016     1.372025    11.98308
  towndummy6 |   1.662119   2.163036     0.77   0.449    -2.792736    6.116975
  towndummy7 |   6.059427   1.689061     3.59   0.001     2.580741    9.538113
  towndummy8 |  -1.499282   5.959093    -0.25   0.803    -13.77226     10.7737
  towndummy9 |  -2.978977   2.677838    -1.11   0.277    -8.494087    2.536132
 towndummy10 |   24.97871   5.224028     4.78   0.000     14.21963     35.7378
 towndummy11 |   24.36291   6.818786     3.57   0.001     10.31936    38.40646
 towndummy12 |  -.3137004   3.244284    -0.10   0.924    -6.995427    6.368027
 towndummy13 |          0  (omitted)
 towndummy14 |    6.94193    .702334     9.88   0.000     5.495446    8.388414
 towndummy15 |   13.96577   .5337229    26.17   0.000     12.86654    15.06499
 towndummy16 |   4.249277   1.108056     3.83   0.001     1.967193     6.53136
 towndummy17 |   2.409926   3.166835     0.76   0.454    -4.112293    8.932144
 towndummy18 |   1.863113   3.817992     0.49   0.630    -6.000189    9.726415
 towndummy19 |   22.64532   2.848692     7.95   0.000     16.77833    28.51231
 towndummy20 |   7.095448   3.971637     1.79   0.086    -1.084291    15.27519
 towndummy21 |   10.57568   2.210157     4.79   0.000     6.023773    15.12758
 towndummy22 |   3.902394   2.264559     1.72   0.097    -.7615522     8.56634
 towndummy23 |  -2.878017   2.681787    -1.07   0.293    -8.401262    2.645227
 towndummy24 |   2.551927   2.846433     0.90   0.379    -3.310413    8.414266
 towndummy25 |  -.4713099   .4957812    -0.95   0.351    -1.492391    .5497706
 towndummy26 |   2.849573   1.494347     1.91   0.068     -.228092    5.927237
       _cons |  -3.000559   2.586273    -1.16   0.257    -8.327087    2.325969
------------------------------------------------------------------------------

. 
. reg insuredpig subsidy sow0 groupd2 groupd3   towndummy*  ,robust cluster(townid)
note: towndummy13 omitted because of collinearity

Linear regression                                      Number of obs =     471
                                                       F(  3,    25) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4918
                                                       Root MSE      =  19.877

                                (Std. Err. adjusted for 26 clusters in townid)
------------------------------------------------------------------------------
             |               Robust
  insuredpig |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     subsidy |   .0603099   .0211295     2.85   0.009     .0167929    .1038269
        sow0 |   .5954281   .2502814     2.38   0.025     .0799639    1.110892
     groupd2 |   9.257239   2.753647     3.36   0.002     3.585997    14.92848
     groupd3 |   11.69414   3.021586     3.87   0.001     5.471069    17.91721
  towndummy1 |  -.7822107    .794437    -0.98   0.334    -2.418384    .8539629
  towndummy2 |   5.983192   2.961653     2.02   0.054    -.1164467    12.08283
  towndummy3 |   15.96998   4.579473     3.49   0.002     6.538381    25.40158
  towndummy4 |  -4.949487   1.478556    -3.35   0.003     -7.99463   -1.904343
  towndummy5 |   7.427704   2.578891     2.88   0.008     2.116379    12.73903
  towndummy6 |   2.108875    2.08038     1.01   0.320    -2.175748    6.393499
  towndummy7 |   5.084981   1.777353     2.86   0.008     1.424455    8.745508
  towndummy8 |  -.9430718   5.677955    -0.17   0.869    -12.63704     10.7509
  towndummy9 |  -3.971018   2.731774    -1.45   0.158    -9.597211    1.655176
 towndummy10 |    23.2763   4.966074     4.69   0.000     13.04848    33.50412
 towndummy11 |    22.2587   6.577022     3.38   0.002     8.713068    35.80433
 towndummy12 |  -.5315693   2.993077    -0.18   0.860    -6.695927    5.632788
 towndummy13 |          0  (omitted)
 towndummy14 |   8.555018   .6507978    13.15   0.000     7.214674    9.895361
 towndummy15 |    13.5714   .6257305    21.69   0.000     12.28268    14.86012
 towndummy16 |   4.993761   .9612253     5.20   0.000     3.014081    6.973442
 towndummy17 |   2.879399    2.89225     1.00   0.329    -3.077301    8.836099
 towndummy18 |   1.639469   3.745072     0.44   0.665    -6.073652     9.35259
 towndummy19 |   21.38147   2.816766     7.59   0.000     15.58023    27.18271
 towndummy20 |   7.033696   3.886939     1.81   0.082    -.9716047      15.039
 towndummy21 |   11.67847   2.193797     5.32   0.000      7.16026    16.19668
 towndummy22 |   3.316434   2.152035     1.54   0.136    -1.115765    7.748633
 towndummy23 |  -3.460757   2.674541    -1.29   0.208    -8.969078    2.047564
 towndummy24 |   2.991541   2.792591     1.07   0.294    -2.759907    8.742989
 towndummy25 |  -2.640619   .7801058    -3.38   0.002    -4.247277   -1.033961
 towndummy26 |    2.09603   1.438152     1.46   0.157    -.8658995    5.057959
       _cons |  -11.11796    3.85746    -2.88   0.008    -19.06255   -3.173371
------------------------------------------------------------------------------

.   
.  ******************************************************end
. 
. 
. 
. *********Table B: Testing for the Parallel Trend in the Number of Sows Between the Treatment and Control Villa
> ges.
. *************************different time trend
. reshape long sow,i(villageid) j(year)
(note: j = 0 1 2 3 4)

Data                               wide   ->   long
-----------------------------------------------------------------------------
Number of obs.                      480   ->    2400
Number of variables                 142   ->     139
j variable (5 values)                     ->   year
xij variables:
                     sow0 sow1 ... sow4   ->   sow
-----------------------------------------------------------------------------

. iis villageid 

. tis year

.  
. tab year,ge(quarterd)

       year |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        480       20.00       20.00
          1 |        480       20.00       40.00
          2 |        480       20.00       60.00
          3 |        480       20.00       80.00
          4 |        480       20.00      100.00
------------+-----------------------------------
      Total |      2,400      100.00

. ge lig=0

. replace lig=1 if groupd2==1
(600 real changes made)

. ge hig=0

. replace hig=1 if groupd3==1
(1200 real changes made)

. 
. ge lig_q1=lig*quarterd1

. ge lig_q2=lig*quarterd2

. ge lig_q3=lig*quarterd3

. ge lig_q4=lig*quarterd4

. ge lig_q5=lig*quarterd5

. 
. ge hig_q1=hig*quarterd1

. ge hig_q2=hig*quarterd2

. ge hig_q3=hig*quarterd3

. ge hig_q4=hig*quarterd4

. ge hig_q5=hig*quarterd5

. 
.  
. xtreg sow quarterd2-quarterd5 lig_q2-lig_q5 hig_q2-hig_q5,fe

Fixed-effects (within) regression               Number of obs      =      1811
Group variable: villageid                       Number of groups   =       480

R-sq:  within  = 0.3415                         Obs per group: min =         1
       between = 0.0193                                        avg =       3.8
       overall = 0.0881                                        max =         5

                                                F(12,1319)         =     57.01
corr(u_i, Xb)  = -0.0346                        Prob > F           =    0.0000

------------------------------------------------------------------------------
         sow |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   quarterd2 |   8.256057   2.183699     3.78   0.000     3.972156    12.53996
   quarterd3 |   14.22275   2.481636     5.73   0.000     9.354367    19.09114
   quarterd4 |   19.83952   2.496882     7.95   0.000     14.94123    24.73781
   quarterd5 |   23.97466   2.496882     9.60   0.000     19.07636    28.87295
      lig_q2 |   4.252125   3.109997     1.37   0.172    -1.848956    10.35321
      lig_q3 |   1.201618   3.580888     0.34   0.737     -5.82324    8.226476
      lig_q4 |   4.094023   3.537082     1.16   0.247    -2.844897    11.03294
      lig_q5 |   4.066996   3.537082     1.15   0.250    -2.871924    11.00592
      hig_q2 |   1.901473   2.707448     0.70   0.483    -3.409901    7.212846
      hig_q3 |   3.212518    3.01046     1.07   0.286    -2.693294    9.118331
      hig_q4 |   6.387794   2.999955     2.13   0.033     .5025908      12.273
      hig_q5 |   7.056127   2.999955     2.35   0.019     1.170924    12.94133
       _cons |   15.85435    .755901    20.97   0.000     14.37145    17.33725
-------------+----------------------------------------------------------------
     sigma_u |  27.785402
     sigma_e |  15.918807
         rho |  .75287764   (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0:     F(479, 1319) =    11.95           Prob > F = 0.0000

. 
. 
. sort group year

. by group year:ameans sow

----------------------------------------------------------------------------------------------------------------
-> group = 1, year = 0

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     120       17.95         13.1538    22.7462 
             |  Geometric     110    11.10707        9.040394    13.6462 
             |   Harmonic     110    6.055841        4.806361   8.183167 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 1, year = 1

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     102    28.80392        20.33116   37.27668 
             |  Geometric     102    17.91829        14.89499   21.55523 
             |   Harmonic     102    11.52113        9.415355   14.84018 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 1, year = 2

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      75       32.32        21.63109   43.00891 
             |  Geometric      74    18.65729         14.4943   24.01594 
             |   Harmonic      74    10.35469        8.023986   14.59365 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 1, year = 3

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      74    31.81081        26.42721   37.19441 
             |  Geometric      73    23.47718        19.04406   28.94225 
             |   Harmonic      73    14.62728        11.18381   21.13456 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 1, year = 4

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      74    35.94595        29.96303   41.92886 
             |  Geometric      74    25.33493        20.27189   31.66251 
             |   Harmonic      74      14.618        11.03976   21.62819 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 2, year = 0

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     120    13.16667         10.5915   15.74183 
             |  Geometric     108    9.162222        7.490596   11.20689 
             |   Harmonic     108    5.048755        4.042617   6.721663 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 2, year = 1

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      98    28.09184        23.97832   32.20535 
             |  Geometric      98    21.77947        18.72783   25.32836 
             |   Harmonic      98     15.7659        12.80045   20.51964 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 2, year = 2

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      68    26.39706         20.6602   32.13391 
             |  Geometric      68    17.96604        14.30158   22.56944 
             |   Harmonic      68    10.84582        7.948887   17.06511 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 2, year = 3

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      74    35.68919        28.42468    42.9537 
             |  Geometric      74     25.8792        21.23214   31.54335 
             |   Harmonic      74    16.20561        11.26662   28.85475 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 2, year = 4

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic      74     39.7973        31.50496   48.08963 
             |  Geometric      74    28.87017        23.78513   35.04234 
             |   Harmonic      74    19.66486        15.22235   27.76898 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 3, year = 0

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     240    16.94583        14.20825   19.68342 
             |  Geometric     224    10.69249        9.289041   12.30799 
             |   Harmonic     224    5.985954        5.111445   7.221463 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 3, year = 1

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     185    29.80541        25.53865   34.07216 
             |  Geometric     185    20.65231        18.11724    23.5421 
             |   Harmonic     185    12.76315        10.43655   16.42467 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 3, year = 2

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     161    32.64596        27.71827   37.57365 
             |  Geometric     161    21.54968        18.50977   25.08885 
             |   Harmonic     161     12.4424        9.979382   16.51963 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 3, year = 3

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     173     42.3815        36.54905   48.21395 
             |  Geometric     173     29.9963        26.34606   34.15228 
             |   Harmonic     173    20.39817         17.7125   24.04383 
------------------------------------------------------------------------

----------------------------------------------------------------------------------------------------------------
-> group = 3, year = 4

    Variable |    Type        Obs        Mean       [95% Conf. Interval]
-------------+----------------------------------------------------------
         sow | Arithmetic     173    47.18497        40.85359   53.51636 
             |  Geometric     173    33.49422        29.38589   38.17693 
             |   Harmonic     173    22.14524        18.76367   27.01361 
------------------------------------------------------------------------

. ************************************************************************************************ 
.  
.  
. log close
      name:  <unnamed>
       log:  d:\project2014\replicationsow\replication_sow\sow_appendix_cluster.log
  log type:  text
 closed on:  25 May 2014, 17:33:50
----------------------------------------------------------------------------------------------------------------
